Lead Platform Engineer, AIR: AI-Driven Issue Resolution

Ford; Michigan; Ibrido; USD 133.000 - 251.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental, vision coverage

Paid parental leave

Vehicle discount program

Tuition assistance

Paid time off

Descrizione del lavoro

Ford Motor Company seeks a senior leader to design and drive the AIR Platform, an AI-driven issue resolution system for manufacturing. You will shape architecture, orchestrate workflows, and ensure secure, auditable agent interactions across plant systems.

You will mentor engineers and collaborate with data scientists, MLOps, and security teams to deliver scalable, production-ready solutions that reduce downtime and improve plant reliability.

Competenze

• Bachelor's degree or equivalent experience in CS/Software Engineering.
• 7+ years building production software platforms or distributed systems with leadership.
• Hands-on experience with large language models: agent workflows, orchestration, retrieval, and tool integration.
• Strong API design and maintainable code in Python/TypeScript/Go/Java; secure systems with auditing and access controls.

Mansioni

• Design the AIR Platform architecture across UX, workflow orchestration, agents, tools, knowledge, evaluation, and feedback.
• Build reusable components for issue intake, investigation planning, evidence retrieval, analysis, recommendations, and follow‑up.
• Define how agents call tools and plant systems through approved, permissioned interfaces.
• Lead the AIR engineering team, coach data scientists, and collaborate with MLOps to measure agent behavior.

Conoscenze

Leadership

Distributed systems

Agent workflows

APIs

Secure systems

Formazione

Bachelor's degree in CS/Software Engineering or related field

Strumenti

Python

TypeScript

Go

Java

Descrizione del lavoro

Ford Motor Company seeks a senior leader to design and drive the AIR Platform, an AI-driven issue resolution system for manufacturing. You will shape architecture, orchestrate workflows, and ensure secure, auditable agent interactions across plant systems.

You will mentor engineers and collaborate with data scientists, MLOps, and security teams to deliver scalable, production-ready solutions that reduce downtime and improve plant reliability.